In 2016, more than three billion passwords were harvested from breaches by criminals in the U.S., according to Shape Security."Criminals exchange passwords on the Dark Web and use a technique called credential stuffing to apply passwords to targeted web domains and automatically attempt authentication for tens of thousands of compromised passwords," Routh
Topic: Artificial Intelligence (AI)
A new competition heralds what is likely to become the future of cybersecurity and cyberwarfare, with offensive and defensive AI algorithms doing battle. The contest, which will play out over the next five months, is run by Kaggle, a platform for data science competitions. It will pit researchers' algorithms against one another in attempts to confuse and tr
Artificial intelligence is to be the crown jewel of the Defense Department's much-discussed Third Offset, the US military's effort to prepare for the next 20 years. Unfortunately, "joint collaborative human-machine battle networks" are off to a slow, even stumbling, start. Recognizing that today's AI is different from the robots that have come before, the Pen
Machine learning (ML) may well be The Next Big Thing, but it has yet to register in mainstream enterprise adoption. While breathless prognosticators proclaim 50% of organisations lining up to magically transform themselves in 2017 with ML, more canny observers put the number closer to 15%. And that's being generous.
Powerful machine-learning techniques are making it increasingly easy to manipulate or generate realistic video and audio, and to impersonate anyone you want with amazing accuracy.
Over the last five years or so, Machine Learning, a type of AI, has been a quickly rising tide that’s now starting to permeate nearly every corner of technology.
In one of the most significant tests of autonomous systems under development by the Department of Defense, the Strategic Capabilities Office, partnering with Naval Air Systems Command, successfully demonstrated one of the world’s largest micro-drone swarms at China Lake, California.
The robot is envisioned as a 1.2-meter tall humanoid, possibly covered with synthetic skin, with two (or more) arms ending in hands or grippers, and wheeled treads for locomotion. Cameras on its head would stream high-definition video to its simian operator, while other sensors might include infrared and ultraviolet imaging, GPS, touch, proximity and strain